MATLABSchrodinger-equation-

this is a program to identify images from an image file

同样的MATLAB 教程 我想对学习MATLAB的人会有帮助的(The same MATLAB Tutorial MATLAB I would like to learn who will help)

关于matlab的基础语言和其他算法，有利于初学者(Based on the matlab language and other algorithms, help beginners)

Speech Intelligbilty calculation for speech enhancement

汽车高斯曲面拟合 --- 2程序，以适应到表面二维高斯： 子= A *的进出口（ -（（西为X0）^2/2/sigmax^2 +（艺Y0的）^2/2/sigmay^ 2）。。）+ b的 这些例程是自动在某种意义上说，他们并不需要出发对模型参数的猜测规范。 autoGaussianSurfML（十一，彝，子）适合通过对模型参数的最大似然（最小二乘）。它首先计算了该模型在许多可能的参数值，然后选择最佳质量设置和细化与lsqcurvefit它。 autoGaussianSurfGS（十一，彝，紫）的估计，通过指定数据的贝叶斯生成模型，然后采取通过从模型吉布斯抽样样本后ofthis模型参数。这种(Auto Gaussian Surface fit --- 2 routines to fit a 2D Gaussian to a surface: zi = a*exp(-((xi-x0).^2/2/sigmax^2+ (yi-y0).^2/2/sigmay^2))+ b The routines are automatic in the sense that they do not require the specification of starting guesses for the model parameters. autoGaussianSurfML(xi,yi,zi) fits the model parameters through maximum likelihood(least-squares). It first evaluates the quality of the model at many possible values of the parameters then chooses the best set and refines it with lsqcurvefit. autoGaussianSurfGS(xi,yi,zi) estimates the model parameters by specifying a Bayesian generative model for the data, then taking samples from the posterior ofthis model through Gibbs sampling. This method is insensitive to local minimain posterior and gives meaningful error bars (Bayesian confidence intervals))

一 维 时 域 有 限 差 分 法 MATLAB 代 码(One-dimensional finite difference time domain method MATLAB code)

本书介绍了并行计算在matlab上的实现，主要针对多核电脑(This book describes the parallel computing on matlab realization, mainly for multi-core computers)

扩频系统，首先随机产生01序列，然后通过扩频，脉冲成型，BPSK调制发送，接收端接收进行解扩解调(The wide frequency system, first stochastically has 01 sequences, then through the wide frequency, the pulse formation, the BPSK modulation transmission, the receiving end receive carries on the despread demodulation. )

巴特沃斯低通滤波器、FIR低通滤波器、移动平均滤波器、中值滤波器、维纳滤波器、自适应滤波器和小波滤波器的比较(Butterworth low-pass filter, FIR low-pass filter, moving average filter, median filter, Wiener filter, adaptive filter and wavelet filter comparison)

This a camera calibration toolbox for generic lenses. The toolbox can be used to calibrate conventional, wide-angle and fish-eye lens cameras. The calibration is based on viewing a planar calibration object. The intrinsic and extrinsic camera parameters are estimated from control point correspondences between the calibration plane and calibration images. This toolbox is a result of research that has been carried out in the Laboratory of Computational Engineering at Helsinki University of Technology and in the Machine Vision Group at University of Oulu.